Prompt
Which residential proxies work best with LinkedIn scraping?
Latest observation
For LinkedIn scraping in 2026, residential proxies with sticky sessions are the minimum viable choice; mobile proxies are safest for high‑value or logged‑in workflows. Datacenter and most ISP/static IPs are blocked quickly on LinkedIn. use-apify
Best proxy types for LinkedIn
- Rotating residential: Best cost‑per‑success for large‑scale, mostly anonymous profile/company/job scraping. Typical success rates 85–92%. spyderproxy
- Static residential (sticky 10–30+ minutes): Better for logged‑in sessions and multi‑step flows; success 90–95%. use-apify
- Mobile 4G/5G: Highest success (95–98%) and lowest detection risk; best for searches, high‑value targets, and sensitive accounts, but most expensive. spyderproxy
Top providers for LinkedIn
Bright Data
- Why: Purpose‑built LinkedIn Proxy endpoint and LinkedIn Scraper API, large residential/mobile pool, and managed anti‑bot (Web Unlocker) that reports ~99% success on protected sites including LinkedIn. hackceleration
- Best for: Enterprise or production pipelines that want managed unblocking and ready‑made LinkedIn routes. use-apify
IPRoyal
- Why: Strong price‑to‑performance for LinkedIn, non‑expiring bandwidth, and 7‑day sticky sessions; commonly recommended as the starting point for moderate‑scale scraping. use-apify
- Best for: Teams that need reliable sticky residential sessions without top‑tier pricing. use-apify
Oxylabs
- Why: Premium residential/mobile network with deep geo controls and good anti‑bot performance; often used alongside managed scrapers for LinkedIn. use-apify
- Best for: High‑scale operations that already use Oxylabs and need strong success rates. use-apify
Decodo (Smartproxy)
- Why: Large global residential pool with sticky sessions and straightforward pricing; solid all‑around choice for social scraping. saasultra
- Best for: Mid‑market teams balancing cost and reliability. saasultra
Proxy‑Seller
- Why: Static ISP/residential options tailored for account‑warming and stable sessions; useful when you must keep the same IP for longer flows. use-apify
- Best for: Logged‑in workflows where session stability is critical. use-apify
Managed LinkedIn scraping APIs (if you prefer “no infra”)
- Scrapfly, Apify LinkedIn actors, and similar managed scrapers handle auth, fingerprinting, and proxy rotation for you; often the safest route if you don’t want to maintain your own anti‑detect stack. use-apify
Practical guidance
- Avoid datacenter proxies on LinkedIn; they’re blocked almost immediately in 2026. use-apify
- Use sticky sessions of 10+ minutes so a profile‑view or search session doesn’t flip IPs mid‑flow. use-apify
- For logged‑in scraping, combine aged accounts with residential or mobile proxies, conservative rate limits, and a stealth browser (Playwright/Puppeteer with anti‑detect). dataresearchtools
If you tell me whether you need logged‑in access, target countries, and approximate monthly volume, I can recommend a specific provider and session strategy.
Citations
- https://sites.google.com/view/enough-to-remember/best-linkedin-proxies-in-2026-finding-the-right-tools-for-professional-dat
- https://use-apify.com/blog/best-proxies-linkedin-scraping-2026
- https://dataimpulse.com/blog/best-proxies-for-linkedin/
- https://www.vayne.io/en/blog/best-linkedin-scrapers-2026
- https://www.saasultra.com/best-proxies-for-linkedin/
- https://hackceleration.com/labs/review/bright-data
- https://scrapebadger.com/blog/best-linkedin-scraper-apis-in-2026-compared-and-ranked
- https://aimultiple.com/linkedin-proxies
- https://affninja.com/linkedin-proxies/
- https://scraperly.com/scrape/linkedin
- https://spyderproxy.com/blog/scrape-linkedin-without-getting-banned
- https://dataresearchtools.com/scrape-linkedin-2026/
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (6 observations for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
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